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Tweeting in IIoT Ecosystems – Empirical Insights from Social Media Analytics About IIoT Platforms

In: Innovation Through Information Systems

Author

Listed:
  • Dimitri Petrik

    (Graduate School of Excellence Advanced Manufacturing Engineering (GSaME)
    University of Stuttgart)

  • Katharina Pantow

    (University of Stuttgart)

  • Patrick Zschech

    (Friedrich-Alexander University)

  • Georg Herzwurm

    (University of Stuttgart)

Abstract

The market for the Industrial Internet of Things (IIoT) platforms remains highly dynamic and is rapidly evolving regarding the growth of the platform-based ecosystems. However, digital platforms, used in the industrial business-to-business setting, differ significantly from the established platforms in the business-to-consumer domains and remain little researched. In this study, we apply a data-driven approach and conduct bottom-up and top-down content analysis, exploring social media data on the current state of IIoT platforms. For a top-down analysis, we draw on the theoretical concept of platform boundary resources. Specifically, we apply descriptive analytics and topic modeling on the Twitter data regarding the market-ready IIoT platforms Adamos, Cumulocity, Watson IoT, MindSphere, Leonardo, and ThingWorx, thus conducting an exploratory multiple case study. Our findings generate descriptive insights on the currently discussed topics in the area of IIoT platforms, contributing to the knowledge of the current state of digital platforms used in IIoT.

Suggested Citation

  • Dimitri Petrik & Katharina Pantow & Patrick Zschech & Georg Herzwurm, 2021. "Tweeting in IIoT Ecosystems – Empirical Insights from Social Media Analytics About IIoT Platforms," Lecture Notes in Information Systems and Organization, in: Frederik Ahlemann & Reinhard Schütte & Stefan Stieglitz (ed.), Innovation Through Information Systems, pages 455-472, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-86800-0_32
    DOI: 10.1007/978-3-030-86800-0_32
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